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scattering techniques as well as programming would be an advantage. • Degree allowing enrolment for a PhD (such as MSc, Master 2 de Recherche, Laurea or equivalent) in natural science like physics, chemistry
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PhD student at ILL: studying In situ neutron diffraction for green steel and functional metal oxides
6 Mar 2026 Job Information Organisation/Company European Synchrotron Radiation Facility Research Field Physics Researcher Profile Established Researcher (R3) Positions PhD Positions Application
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is accessible online: https://www.tec21.fr/phd-tec21 What we offer : 7 fully funded PhD positions with employment contract, competitive salary (monthly estimate net salary between 2 050 and 2 150 EUR
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
underexplored. The aim of this PhD project is to develop and apply advanced neutron imaging methodologies in order to establish quantitative links between processing conditions, microstructural evolution
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PhD (such as MSc, Master 2 de Recherche,) in chemistry or a closely related science like physics, materials sciences, nanotechnology, etc. • Proficiency in English (A proof of upper-intermediate B2
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● Completing a PhD Dissertation in Sociology at the Centre for Research on Social Inequality (CRIS), Sciences Po, Paris within the remit of the ERC LEARN project Where to apply Website https://www.sciencespo.fr
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, Natural Resources, Agriculture and Environment”, which are at the heart of Horizon Europe. Host laboratories: ESRF and ILL (France), FZJ (Germany), AREA (Italy), NTNU (Norway Where to apply Website https
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. Proficiency in scientific English and in statistical and data processing tools (Excel, R) is also desirable. How to apply : Please send a CV, a cover letter, recomandation letters to the three following email
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together expertise in physics, chemistry, nanoscience, and materials engineering. For more information about IS2M, please feel free to visit the website: https://www.is2m.uha.fr/ . The PhD candidate (M/F
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. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources